xlm-roberta-base-uk-base-ner

Amir13/xlm-roberta-base-uk-base-ner

xlm-roberta-base-uk-base-ner is a token classification model from Amir13. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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Model card

From the Hugging Face model README

xlm-roberta-base-uk-base-ner

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2510
Precision: 0.5951
Recall: 0.6256
F1: 0.6100
Accuracy: 0.9264

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.7224	1.0	514	0.3856	0.4590	0.4581	0.4586	0.8996
0.3616	2.0	1028	0.2893	0.5528	0.5533	0.5531	0.9190
0.2783	3.0	1542	0.2652	0.5661	0.5965	0.5809	0.9227
0.2362	4.0	2056	0.2531	0.5882	0.6256	0.6063	0.9263
0.2124	5.0	2570	0.2510	0.5951	0.6256	0.6100	0.9264

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Jan 21, 2023
Updated: Nov 18, 2023